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How Enterprises Can Scale their Machine Learning
Enterprise organizations are already seeing benefits from their machine learning practices, but Forrester Research says they've only scratched the surface.
How Edge Computing Will Change Enterprise IT
Edge computing holds promise for enterprises, particularly in supporting their IoT implementations. However, edge also raises some security concerns.
Building a Smart City Doesn’t Have a Common Blueprint
While there is no exact definition of what a smart city must offer its citizens, there is also no shortage of "smart" initiatives.
DevOps: From a Business and Executive Perspective
Some of the roadblocks to a successful DevOps initiative have nothing to do with technology or the IT group. Business unit leaders and executives have to get involved in the initiative as well.
Hire the Right Machine Learning Talent
Decision intelligence engineering applies the technology already available to solve the business problems that you have today.
Who Is Winning the Race for Tech Talent?
Ever wonder how Google, Microsoft, and IBM are winning the race for tech talent? It just might boil down to the ability to weave relevant learning and development opportunities into every stage of employee life cycles.
Risk Management Is Evolving: Are You On Board?
IT risk management is a mature topic, but it continues to evolve with technology. As rules-based systems are supplemented with self-learning systems, IT departments, risks managers and business leaders need to update their thinking.
4 Ways to Maximize IT Productivity in a Transition to Cloud
Cloud migration often leads to the outsourcing of critical activities. So how can your IT staff continue to contribute during this transition?
AI Is a Powerful Ally in Public Safety - Responsible Use Is Paramount
As governments employ AI in public safety applications they have to stay laser-focused on building public trust in the outcomes.
Ethics, Privacy Issues Highlight Strata Data Conference
Machine learning, artificial intelligence, and unified data platforms are the focus for data scientists attending the Strata Data Conference in New York.
How to Unlock Growth: Pay Down Technical Debt
Dealing with a couple decades of technical debt takes effort across the organization, but you can do it if you give your team time to lay out a plan and take the first few steps.
Tech Companies Poach AI Talent from Universities
In a tight market for AI and machine learning, tech companies have always relied on a secret weapon -- tapping into the talent available in academia. But who will train tomorrow's AI experts?
Health Data Sharing Will Follow the Open Banking Model
The trend toward API-based banking offers a model for health records, giving patients access to and control over their personal health data.
Enterprises to Bump Up IT Spending in 2019
A Spiceworks survey reveals an air of confidence among IT buyers who see IT budgets going up to improve infrastructure and security.
10 Highest-Paying IT Job Skills
Adding one of these capabilities to your resume might lead to a salary increase.
Study: DevOps Outsourcing Can Cost You
The new report by DORA on the state of DevOps in 2018 found outsourcing to be the crutch of low software delivery performers.
Move Securely to the Cloud: Gain the Advantages
Organizations can reap the full benefits of the cloud and avoid potential security risks by following four fundamental steps.
AIOps to Drive Big IT Pivot
AIOps takes the vast amounts of machine data generated by IT infrastructure and ingests, monitors, and analyzes it to ultimately predict issues before they occur.
Enter the Co-Economy: A New Era for Innovation
The days when businesses could succeed with innovation without partnering are pretty much gone.
What Boards and CEOs Should Be Asking CIOs
Boards and CEOs are more tech-savvy than they once were, but they still don't always know the best questions to ask CIOs. With the push for digital transformation they need to be armed with the right questions at the right time.
AWS vs. Azure: Users Share Their Experiences
Enterprise IT professionals offer their insights into two of the leading cloud platforms, AWS and Azure.
Panacea or Alchemy the Truth About AI
Is artificial intelligence a date with the devil or natural evolution?
So, How Are We Doing?
You, as IT professionals and InformationWeek readers can help us serve you better.
Help Wanted: Data Engineers Who Fill Enterprise Need
Data engineers build the infrastructure and tools that data scientists and business users need to perform analysis and create machine learning models. Maybe that's why demand is high for this emerging category of IT pro.
DevOOPS!!!
What can go wrong with DevOps? Plenty, but you can still learn from your mistakes and the mistakes of other people.
Yes, Data Is the New Oil in the Digital Economy
Leveraged efficiently, data can help an organization understand its customer needs, recruit the right talent, and define a strategy for the 21st century.
Meet the Automation Architect
There might be plenty of career opportunities for those who can bridge technology, people and processes.
5 Bad Habits of Ineffective IT Departments
The best intentions of an IT group can end up coming back to bite them, leading their projects to fall short of expectations or to fail outright.
It's No Longer 'If,' but 'When and How' to Move to Cloud
Accept that your organization will migrate to the cloud, but also understand that such a migration requires planning and a staged approach.
10 Roadblocks to Becoming a Data-Driven Enterprise
Nearly 100% of enterprises want to become more data-driven, but less than a third have accomplished that goal. A new survey sheds light on the reasons why.
VC Investments Confirm: It's a Software Kind of World
2018's bullish economy is reflected in venture capital and private equity investments. Software drives the majority of deals since software powers just about everything now. Here's where the money is flowing and why.
Four Easy Steps to Intelligent Automation Success
If you are losing sleep over concerns about how to implement intelligent automation in your organization, you aren't alone.
Get to a State of Continuous Integration and Development
It's time to get control of your application development processes and stop the code creep with DevOps.
Making Sense of User Consent Under GDPR
Organizations need to understand which U.S. sales and marketing practices are allowed under GDPR, and which are not.
Stop Talking Gobbledygook to the Business
For all of the promise that AI and machine learning have for an enterprise, you won't realize the technology's potential if data scientists blather in data science speak.
Is Digital Reality Ready for the Enterprise?
As virtual, augmented, and mixed reality technologies get ready for the enterprise, the enterprise has to get ready for digital reality.
Citizen Data Science and the Democratization of Analytics
Democratization through machine learning and knowledge-sharing tools is expanding data science capabilities to more and more "citizens" in the broader working community.
How Mid-Size Firms Can Overcome DevOps Challenges
Wedged between resource-rich global giants and nimble small firms, many mid-size enterprises struggle to achieve DevOps success. Here are the best ways of addressing this problem.
Experian DataLabs Pioneers Internal Analytics R&D
Experian DataLabs eight years ago pioneered the idea of an analytics and AI R&D shop inside a bigger company. Here's how it started at that credit reporting and scoring giant and what it is doing now.
ITIL, DevOps, Whatever – The Labels Don’t Matter
If you think you're enlightened because you're a DevOps shop, here's news for you: Whether you're ITIL or DevOps, Agile or Lean, what you call your team won't prevent failure.
The Big Challenge for Sports Betting: Software Engineering
Implementing sports betting isn't just about legality but about data and building out the software to support oddsmaking, new types of betting, and financial requirements.
7 Data-Related Reasons Companies Fall Short of Promises
Customer-centricity, customer journeys, data as an asset. They're easy to say, much tougher to do.
Eliminating Performance Bottlenecks on Web-Based AI
The end-to-end cloud ecosystem must mature rapidly to support enterprise deployment of AI and machine learning applications.
IaaS: Alternative Cloud Providers for the Enterprise
There are alternatives to IaaS providers like AWS, Google, and Microsoft Azure. Here are a handful of other providers that give enterprises more choices on price, stability, and ease of use.
3 Steps to Create an Achievable Project Timeline
Imagine how your next client will react when you maintain your original project timeline or close to it.
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2018 State of the Cloud
Cloud adoption is growing, but how are organizations taking advantage of it? Interop ITX and InformationWeek surveyed technology decision-makers to find out, read this report to discover what they had to say!
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